Qwen3.6 Plus

alibaba · alibaba/qwen3.6-plus

Earlier Qwen multimodal workhorse for million-token agent and document tasks

≈667k Chinese characters of context · Reads images · Step-by-step reasoning · Calls tools / agents · Structured JSON output

Read a 200,000-Chinese-character book and write a 2,000-Chinese-character summary: about $0.16

An order-of-magnitude estimate at 1.5 tokens per Chinese character and the vendor's own rate — not a quote. Full method: the glossary on the AI Models page.

Specs

Context1,000,000(≈667k Chinese characters)
Max output65,536
Structured outputYes
Open weightsNo
Released2026-04-02

Source: models.dev snapshot 2026-08-29

Who serves it, at what price

ProviderIn /MOut /MCache read /M
Alibabafirst-party$0.5$3$0.05
AIHubMix$0.28$1.69$0.0282
Alibaba (China)$0.5$3$0.05
Alibaba Coding PlanBilled by planBilled by plan$0
Alibaba Coding Plan (China)Billed by planBilled by plan$0
Alibaba Token PlanBilled by planBilled by plan$0
Alibaba Token Plan (China)Billed by planBilled by plan$0
Charm Hyper$2$6$0.2
DevPass (LLM Gateway)$0.5$3$0.05
OpenCode Zen$0.5$3$0.05
OpenCode Go$0.5$3$0.05
Pioneer$0.325$1.95$0.065
Requesty$0.5$3$0.05

Rows tagged “first-party” are the model vendor's own pricing; untagged rows are resale channels and may differ.

When to choose it

We have not assessed this model. It comes from the full models.dev snapshot — the specs are the vendor's published figures, and a price is the vendor's own only on rows tagged first-party; the rest are resale channels. The fit is simply not something anyone here has written.

Leaderboard

Not yet on any leaderboard we track. That does not mean the model performs poorly — it means we have not taken this snapshot for it yet, and we do not publish a score we have not measured.